公开(公告)号：US20230296800A1

公开(公告)日：2023-09-21

申请号：US18324104

申请日：2023-05-25

申请人： Yikang Zheng ,  Yibo Wang ,  Shaojiang Wu ,  Yi Yao

发明人： Yikang Zheng ,  Yibo Wang ,  Shaojiang Wu ,  Yi Yao

IPC分类号： G01V1/48

CPC分类号： G01V1/48 ,  G06N3/084

摘要： Embodiments of the present disclosure provide a DAS same-well monitoring real-time microseismic effective event identification method based on deep learning, comprising: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set, comprising microseismic event data, pipe wave data and background noise data with different types of labels; constructing a signal identification module; training the signal identification module by using the training data set; preprocessing actual monitoring data, inputting the preprocessed data into the signal identification module to obtain an output result; marking microseismic events identified in the output result, and updating the marked microseismic events into the training data set; and adjusting and updating the signal identification module. The identification method according to the present disclosure can identify microseismic events in DAS same-well monitoring data in real time and efficiently.